PCA Index Interactive Visualization Examples

PCA Index Interactive Visualization Examples#

import plotly.express as px

import config
import load_fred
import pca_index

DATA_DIR = config.DATA_DIR
df = load_fred.load_fred(data_dir=DATA_DIR)
dfn = pca_index.transform_series(df)
/home/runner/work/HW4-Website/HW4-Website/src/pca_index.py:31: FutureWarning:

The default fill_method='pad' in Series.pct_change is deprecated and will be removed in a future version. Either fill in any non-leading NA values prior to calling pct_change or specify 'fill_method=None' to not fill NA values.

/home/runner/work/HW4-Website/HW4-Website/src/pca_index.py:32: FutureWarning:

The default fill_method='pad' in Series.pct_change is deprecated and will be removed in a future version. Either fill in any non-leading NA values prior to calling pct_change or specify 'fill_method=None' to not fill NA values.
## Visualize Principal Component 1
pc1, loadings = pca_index.pca(dfn, module="scikitlearn")
pc1.plot();
../../_images/d45628f8b388a985b10a39d88a2be294e71582c8b14b8b76436dc237046b8222.png
# Simple version
fig = px.line(pc1)
fig.show()
# Using slider and quick views
pca_index.pc1_line_plot(pc1)
## Visualize normalized and raw series
dfn.plot(subplots=True, figsize=(10, 10));
../../_images/a7fc9b8dfc90524ca37dc80b0148555c60d9d90fa77b748a00379c8dfbc22a85.png
fig = px.line(dfn, facet_col="variable", facet_col_wrap=1)
fig.update_yaxes(matches=None)
fig.show()
pca_index.plot_unnormalized_series(df)
pca_index.plot_normalized_series(dfn)